Digital Formative Assessment Toolkits: A Collection of Learning Stations and AI-Driven Rubrics based on the IAT Framework

dataset provides a practical implementation of digital formative assessment through a series of structured lesson plans and "Digital Learning Stations." Developed for primary education, these resources demonstrate how to transition from traditional worksheets to AI-augmented learning environments using the IAT (Integrated AI Triade) framework. Content & Methodology: The collection consists of four specialized modules (Lesson Plans) designed to empower teachers in: 1.Content Architecture: Extracting the "DNA" of the curriculum and designing immersive learning missions (Scenario-based, Comparative Analysis, and Critique & Creation models). 2.Rubric Engineering: Developing AI-generated behavioral descriptors for qualitative and transparent evaluation. 3.Digital Infrastructure: Implementing automated evidence collection using Google Workspace integrated with AI workflows. 4.Pedagogical Analytics: Analyzing "Mental Knots" and misconceptions to re-engineer teaching strategies based on digital student output. Dataset Features: Target Audience: Primary school teachers, educational designers, and EdTech researchers. Practical Assets: Standardized templates for learning stations and prompts for pedagogical feedback. Empirical Evidence: This package includes real-world applications across a network of pioneering schools. Collaborative Network: This project is supported by an expanding network of educational hubs: 1. Iran-Talab Educational Hub (Participating Schools:Imam Ali, Shahid Fallahzadeh, Iran-Talab Tehrani] 2. Shahid Rajaee Educational Hub(Paricipating Schools: Shahid Rajaee, Ghaem Motlagh) 3.Varesan_e_Noor Educational Hub(Partipating: varesan_Noor, Imam Hossein) (Note: Institutional affiliations are updated in subsequent versions to reflect the growing network of IAT-certified schools.)